Download Free Use Of Performance Support Tools During Unsupervised Practice Of A Complex Cognitive Task Book in PDF and EPUB Free Download. You can read online Use Of Performance Support Tools During Unsupervised Practice Of A Complex Cognitive Task and write the review.

Design Recommendations for Intelligent Tutoring Systems explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Instructional Management” techniques, strategies and tactics, and identifies best practices, emerging concepts and future needs to promote efficient and effective adaptive tutoring solutions. Design recommendations include current, projected, and emerging capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instructional management and analysis of tutoring technologies.
​This book provides a trove of insightful perspectives on the current state and the realization of digital surgery. Digital surgery entails the application of artificial intelligence and machine learning toward automation in robotic-assisted surgery. More generally, the objective is to digitally define the patient, the surgical field, and the surgical problem or task at hand; to operate based on information, rather than based on anatomic planes alone. But digital surgery has shapeshifted into other, equally intriguing faces – many of which are exemplified by topics throughout this book. Digital surgery is fundamental to 3D-printed organs, mind-controlled limbs, image-guided navigation, and tele-mentoring. It is the key that unlocks the metaphorical doorway to surgical access, thereby creating a global framework for surgical training, education, planning, and much more. This text provides methods of measurement and perception outside of the human umwelt – including the ability to visualize fields beyond the visible light spectrum, via near infrared fluorescent organic dyes which are rapidly being bioengineered to target specific tumors, as well as native anatomic structures of interest. Written by experts in the field, Digital Surgery is designed to help surgeons operate with an enriched understanding of an individual’s specific attributes: including the human phenome, physiome, microbiome, genome, and epigenome. It also aids surgeons in harnessing the power and fluidity of the cloud, which is emerging as a significant resource for surgeons both regionally and globally.
The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.
Now thoroughly up-to-date, Clinical Gastrointestinal Endoscopy, 3rd Edition, by Drs. Vinay Chandrasekhara, Mouen Khashab, B. Joseph Elmunzer, and V. Raman Muthusamy, ensures that you stay current with the latest technology and techniques in GI endoscopy. An all-new editorial team, newly updated images, and a reorganized format make this reference an easy-to-use source of reliable information on a full range of topics, including anatomy, pathophysiology, and therapeutic management options, in addition to the latest GI procedures and technologies. - Offers state-of-the-art coverage of bariatric surgery, therapeutic EUS, device-assisted enteroscopy, image-guided therapy, intramural endotherapy, and much more. - Features 100 updated videos with author voiceovers, as well as 1,000 revised photographs, endoscopic images, and anatomical drawings. - Provides a fresh perspective and expert guidance from an entirely new editorial team. - Includes many more references per chapter, as well as further references online. - Presents material in a newly restructured, organ-based format for quick reference. - Expert ConsultTM eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.
Now in its third edition, this classic text remains the seminal resource for in-depth information about major concepts and principles of the cultural-historical theory developed by Lev Vygotsky, his students, and colleagues, as well as three generations of neo-Vygotskian scholars in Russia and the West. Featuring two new chapters on brain development and scaffolding in the zone of proximal development, as well as additional content on technology, dual language learners, and students with disabilities, this new edition provides the latest research evidence supporting the basics of the cultural-historical approach alongside Vygotskian-based practical implications. With concrete explanations and strategies on how to scaffold young children’s learning and development, this book is essential reading for students of early childhood theory and development.
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field, applications, benchmark experiments, and directions for future research. In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi-Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low-density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.